New Trends in Aggregation Theory: Advances in Intelligent Systems and Computing, cartea 981
Editat de Radomír Halaš, Marek Gagolewski, Radko Mesiaren Limba Engleză Paperback – 17 mai 2019
Aggregation functions have numerous applications, including, but not limited to, data fusion, statistics, image processing, and decision-making. They are usually defined as those functions that are monotone with respect to each input and that satisfy various natural boundary conditions. In particular settings, these conditions might be relaxed or otherwise customized according to the user’s needs. Noteworthy classes of aggregation functions include means, t-norms and t-conorms, uninorms and nullnorms, copulas and fuzzy integrals (e.g., the Choquet and Sugeno integrals). This book provides a valuable overview of recent research trends in this area.
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Specificații
ISBN-13: 9783030194932
ISBN-10: 3030194930
Pagini: 250
Ilustrații: IX, 348 p. 111 illus., 15 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.5 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Intelligent Systems and Computing
Locul publicării:Cham, Switzerland
ISBN-10: 3030194930
Pagini: 250
Ilustrații: IX, 348 p. 111 illus., 15 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.5 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Intelligent Systems and Computing
Locul publicării:Cham, Switzerland
Textul de pe ultima copertă
This book collects the contributions presented at AGOP 2019, the 10th International Summer School on Aggregation Operators, which took place in Olomouc (Czech Republic) in July 2019. It includes contributions on topics ranging from the theory and foundations of aggregation functions to their various applications.
Aggregation functions have numerous applications, including, but not limited to, data fusion, statistics, image processing, and decision-making. They are usually defined as those functions that are monotone with respect to each input and that satisfy various natural boundary conditions. In particular settings, these conditions might be relaxed or otherwise customized according to the user’s needs. Noteworthy classes of aggregation functions include means, t-norms and t-conorms, uninorms and nullnorms, copulas and fuzzy integrals (e.g., the Choquet and Sugeno integrals). This book provides a valuable overview of recent research trends in this area.
Aggregation functions have numerous applications, including, but not limited to, data fusion, statistics, image processing, and decision-making. They are usually defined as those functions that are monotone with respect to each input and that satisfy various natural boundary conditions. In particular settings, these conditions might be relaxed or otherwise customized according to the user’s needs. Noteworthy classes of aggregation functions include means, t-norms and t-conorms, uninorms and nullnorms, copulas and fuzzy integrals (e.g., the Choquet and Sugeno integrals). This book provides a valuable overview of recent research trends in this area.
Caracteristici
Includes the latest research on aggregation functions Presents state-of-the-art technologies and applications Features selected contributions from the 10th International Summer School on Aggregation Operators (AGOP 2019), held in Olomouc, Czech Republic from July 1 to 4, 2019